pylops.signalprocessing.Sliding1D¶
- pylops.signalprocessing.Sliding1D(Op, dim, dimd, nwin, nover, tapertype='hanning', name='S')[source]¶
1D Sliding transform operator.
Apply a transform operator
Op
repeatedly to slices of the model vector in forward mode and slices of the data vector in adjoint mode. More specifically, in forward mode the model vector is divided into slices, each slice is transformed, and slices are then recombined in a sliding window fashion.This operator can be used to perform local, overlapping transforms (e.g.,
pylops.signalprocessing.FFT
) on 1-dimensional arrays.Note
The shape of the model has to be consistent with the number of windows for this operator not to return an error. As the number of windows depends directly on the choice of
nwin
andnover
, it is recommended to first runsliding1d_design
to obtain the correspondingdims
and number of windows.Warning
Depending on the choice of nwin and nover as well as the size of the data, sliding windows may not cover the entire data. The start and end indices of each window will be displayed and returned with running
sliding1d_design
.- Parameters
- Op
pylops.LinearOperator
Transform operator
- dim
tuple
Shape of 1-dimensional model.
- dimd
tuple
Shape of 1-dimensional data
- nwin
int
Number of samples of window
- nover
int
Number of samples of overlapping part of window
- tapertype
str
, optional Type of taper (
hanning
,cosine
,cosinesquare
orNone
)- name
str
, optional New in version 2.0.0.
Name of operator (to be used by
pylops.utils.describe.describe
)
- Op
- Returns
- Sop
pylops.LinearOperator
Sliding operator
- Sop
- Raises
- ValueError
Identified number of windows is not consistent with provided model shape (
dims
).